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Rough sets and Laplacian score based cost-sensitive feature selection
Cost-sensitive feature selection learning is an important preprocessing step in machine learning and data mining. Recently, most existing cost-sensitive feature selection algorithms are heuristic algorithms, which evaluate the importance of each feature individually and select features one by one. O...
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| Publicado en: | PLoS One |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Public Library of Science
2018
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6005488/ https://ncbi.nlm.nih.gov/pubmed/29912884 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0197564 |
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